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Family system dynamics and type 1 diabetic glycemic variability: a vector-auto-regressive model
Moritz Philipp Günther1, Peter Winker, Claudia Böttcher
1Zentrum für Kinderheilkunde, Psychoanalytische Familienpsychosomatik, Justus-Liebig-University, Gießen, Germany. Moritz.Guenther@med.uni-giessen.de
Summary
Positive emotions and family dynamics in adolescents with Type 1 diabetes correlate with reduced blood glucose variability. A happy, calm, and in-control adolescent experiences less diabetic derailment.
Area of Science:
- Psychiatry and Psychology
- Endocrinology
- Econometrics
Background:
- Mind-body interactions are complex, particularly in adolescents with Type 1 diabetes.
- Traditional methods have limitations in analyzing dynamic emotional and physiological data.
Purpose of the Study:
- To explore the mutual interactions between emotions and glycemic variability in adolescents with Type 1 diabetes within a family system.
- To apply econometric methodologies to psychiatric and psychological data.
Main Methods:
- A 120-day structured diary study measuring emotions (valence, activation, control) and glycemic variability (standard deviation of blood glucose).
- Vector autoregression (VAR) and Cholesky Impulse Response Analysis were used to model time-series data.
Main Results:
- Adolescents experiencing happiness, calmness, and control showed reduced glycemic variability.
- Maternal non-domination and paternal happiness were associated with lower glycemic variability.
- External shocks impacting glycemic variability primarily affected the adolescent and father, with effects resolving within 4 days.
Conclusions:
- Positive emotional states and supportive family dynamics can mitigate glycemic variability in Type 1 diabetes.
- Econometric approaches offer novel insights into psychosomatic interactions.
- Further research is needed to integrate econometric theory into mental health and diabetes research.
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